climpred: verification of weather and climate forecasts¶
Version 2.1.1 Release¶
October 13th, 2020
The most recent release adds a few new features along with a few deprecations. We want
users to think about methodology with every call of
verify(), so we now require explicit
alignment. We also require
the explicit definition of
We’ve added a few new features as well (see key additions below). For a complete list, please see the changelog.
An early implementation of bias correction.
Spatial dimensions can now be used in metric calls, e.g. for pattern correlation.
New metrics have been added from
xskillscore, which are mostly based on the Contingency table. We have also added additional probability metrics: the ranked probability score, reliability, discrimination, and ranked histogram.
Math operations can be used between
PredictionEnsembleobjects (see example here).
You can install the latest release of
pip install climpred
conda install -c conda-forge climpred
You can also install the bleeding edge (pre-release versions) by cloning this
repository and running
pip install . --upgrade in the main directory
Help & Reference